Dynatrace

APRIL 26, 2022

Digital experience monitoring enables companies to respond to issues more efficiently in real time, and, through enrichment with the right business data, understand how end-user experience of their digital products significantly affects business key performance indicators (KPIs).

Monitoring 209

Monitoring Social Media IoT Metrics 209

ScaleOut Software

AUGUST 18, 2018

In previous blogs , we have explored the power of the digital twin model for stateful stream-processing. Digital twins are software abstractions that track the behavior of individual devices in IoT applications. Because real-world IoT applications can track thousands of devices or other entities (e.g.,

IoT 45

IoT Ecommerce Analytics Latency 45

Dynatrace

MAY 27, 2021

IoT – Data processing on edge locations. It keeps application processing closer to the data to maintain higher bandwidth and lower latencies, adheres to compliance regulations that don’t yet approve cloud managed services, and allows data center capital investments to be fully amortized before moving to the cloud.

AWS 131

AWS IoT Virtualization Infrastructure 131

ScaleOut Software

AUGUST 18, 2018

In previous blogs , we have explored the power of the digital twin model for stateful stream-processing. Digital twins are software abstractions that track the behavior of individual devices in IoT applications. Because real-world IoT applications can track thousands of devices or other entities (e.g.,

IoT 40

IoT Ecommerce Analytics Latency 40

ScaleOut Software

JULY 19, 2021

We are increasingly surrounded by intelligent IoT devices, which have become an essential part of our lives and an integral component of business and industrial infrastructures. To address these challenges and countless others like them, we need autonomous, deep introspection on incoming data as it arrives and immediate responses.

IoT 78

IoT Analytics Big Data Architecture 78

Tech News Gather

FEBRUARY 20, 2023

With some unique advantages like low latency and faster speed, 5G aims to give birth to a new era of mobile application development with some innovations. New Opportunities for smart devices and IOT integration. Such devices can help to have real-time processing and communication. Enhanced Data Processing.

Mobile 40

Mobile Development Artificial Intelligence IoT 40

The Netflix TechBlog

AUGUST 30, 2021

The challenge, then, is to be able to ingest and process these events in a scalable manner, i.e., scaling with the number of devices, which will be the focus of this blog post. These checkpoint events enable faster state reconstruction by consumers of the data feed while guarding against missed updates.

Latency 213

Latency Traffic Transportation Hardware 213

Dynatrace

OCTOBER 1, 2021

In IT and cloud computing, observability is the ability to measure a system’s current state based on the data it generates, such as logs, metrics, and traces. As teams begin collecting and working with observability data, they are also realizing its benefits to the business, not just IT. What is observability?

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

ScaleOut Software

APRIL 6, 2021

This new software model enables applications to easily analyze telemetry from individual data sources in 1-3 milliseconds while maintaining state information about data sources that deepens introspection. This simplifies the installation process and ensures portability across operating systems.

IoT 52

IoT Azure Analytics Healthcare 52

The Morning Paper

OCTOBER 4, 2020

We are standing on the eve of the 5G era… 5G, as a monumental shift in cellular communication technology, holds tremendous potential for spurring innovations across many vertical industries, with its promised multi-Gbps speed, sub-10 ms low latency, and massive connectivity. Throughput and latency. energy consumption).

Energy 130

Energy Latency Performance Network 130

Dynatrace

JULY 6, 2020

Our customers have frequently requested support for this first new batch of services, which cover databases, big data, networks, and computing. See the health of your big data resources at a glance. Azure HDInsight supports a broad range of use cases including data warehousing, machine learning, and IoT analytics.

Azure 150

Azure Cloud Big Data Virtualization 150

Testsigma

FEBRUARY 12, 2021

The implementation of emerging technologies has helped improve the process of software development, testing, design and deployment. With all of these processes in place, cost optimization is also a high concern for organizations worldwide. IoT Test Automation. Many changes are rendered through automated testing. Hyperautomation.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

The Morning Paper

OCTOBER 26, 2020

On the surface this is a paper about fast data ingestion from high-volume streams, with indexing to support efficient querying. Helios also serves as a reference architecture for how Microsoft envisions its next generation of distributed big-data processing systems being built. PVLDB’20. Emphasis mine ).

Cloud 104

Cloud Big Data Latency Architecture 104

The Morning Paper

FEBRUARY 23, 2020

The Web provides decentralised publishing and direct access to unstructured data ( searching / querying that data has turned out to be a pretty centralised affair in practice though). AnyLog wants to do for structured (relational) data what the Web has done for unstructured data, with coordinators playing the role of search engines.

Blockchain 94

Blockchain Internet Internet IoT 94

All Things Distributed

JUNE 21, 2018

To do this, they need to be able to use multiple databases and data models within the same application. For decades because the only database choice was a relational database, no matter the shape or function of the data in the application, the data was modeled as relational.

Database 167

Database AWS Games Latency 167

All Things Distributed

APRIL 9, 2015

As I wrote last week machine learning is becoming an increasingly important tool to build advanced data driven applications. Amazon ML uses powerful algorithms that can help you create machine learning models by finding patterns in existing data, and using these patterns to make predictions from new data as it becomes available.

Lambda 122

Lambda Cloud IoT AWS 122

ACM Sigarch

DECEMBER 6, 2018

Orchestrate the processing flow across an end-to-end infrastructure. Each of these categories opens up challenging problems in AI/visual algorithms, high-density computing, bandwidth/latency, distributed systems. Analyzing visual data is predominantly accomplished using deep learning. Generate interactive and immersive content.

Wireless 54

Wireless IoT Analytics Architecture 54

Alex Russell

APRIL 29, 2021

This post mines publicly available data on the pace of compatibility fixes and feature additions to assess the claim. This data set is derived by walking a subset of web platform features exposed to JavaScript and, as such, may not capture the full richness of a particular browser. Reduces data use and improves page load performance.

Media 145

Media Games Education Engineering 145

Enprowess

SEPTEMBER 7, 2021

IoT-based applications. Zero Buffering: Applications produce a massive quantity of data. with its low latency I/O operations, gives the benefit of ‘No buffering’ to developers. Stable code: With downward data flow, React.js Reactjs makes API calls and processes in-browser data. Developing API. Network: Node.js

Open Source 52

Open Source Virtualization Programming Servers 52

Abhishek Tiwari

NOVEMBER 3, 2018

Using CDN for the whole website, you can offload most of the website traffic to your CDN which will handle not only large traffic spikes but also reduce the latency of content delivery. Using raw content data (such as Markdown, YAML, JSON files) and templates an SSG engine (such as Jekyll, Hugo, Gatsby, etc.)

Systems 63

Systems Cache Website Network 63

VoltDB

JUNE 9, 2017

The performance requirements for telco networks are staggering – the ability to process millions of transactions per second, the ability to manage billions of events per day, and the ability to manage tens of millions of devices simultaneously – and to do so without any perceptible downtime. So, what can we do with such incredibly rich data?

Analytics 40

Analytics Strategy Network Games 40

VoltDB

JUNE 9, 2017

The performance requirements for telco networks are staggering – the ability to process millions of transactions per second, the ability to manage billions of events per day, and the ability to manage tens of millions of devices simultaneously – and to do so without any perceptible downtime. So, what can we do with such incredibly rich data?

Analytics 40

Analytics Strategy Network Games 40